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Teradata Cookbook

You're reading from   Teradata Cookbook Over 85 recipes to implement efficient data warehousing solutions

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781787280786
Length 454 pages
Edition 1st Edition
Languages
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Authors (3):
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 Khandelwal Khandelwal
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Khandelwal
 Kasi Kasi
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Kasi
 Bhamidipati Bhamidipati
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Bhamidipati
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Toc

Table of Contents (14) Chapters Close

Preface 1. Installation FREE CHAPTER 2. SQLs 3. Advanced SQL with Backup and Restore 4. All about Indexes 5. Mixing Strategies – Joining of Tables 6. Building Loading Utility – Replication and Loading 7. Monitoring the better way 8. Collect Statistics the Better Way 9. Application and OPS DBA Insight 10. DBA Insight 11. Performance Tuning 12. Troubleshooting 13. Other Books You May Enjoy

Working with correlated subqueries

A correlated subquery (CS) is a subquery whose outer query results are processed a row at a time, against the subquery result. The subquery result is computed for each row processed. The following are advantages of subqueries:

  • Helps in eliminating the need for intermediate or temporary tables. Reduces user temp space and spool.
  • Helps in minimizing joining costs.
  • If used effectively, is significantly faster than the query using temporary tables.

Now, let's understand the workings of different types of queries in Teradata from the figure:

Ordinary Sub Query: In this case, the inner query is executed only once, and the output of the inner query is used by the outer query. The inner query is not dependent on the outer query:

/*Sub query*/
SELECT
Column1, Column2 FROM
Table1
WHERE Column1 IN (SELECT Column1 FROM Table1);

Correlated Sub Query...

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